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devoted to the subject of real-time computer vision, and includes articles by some of the leading researchers in the world. The focus is on;
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This book constitutes the refereed proceedings of the 10th International Conference on Computer Vision Systems, ICVS 2015, held;
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This book constitutes the refereed proceedings of the 12th International Conference on Computer Vision Systems, ICVS 2019, held;
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real-time computer vision models.;
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The two-volume set LNCS 1842/1843 constitutes the refereed proceedings of the 6th European Conference on Computer Vision, ECCV 2000, held;
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/sensing, including physical principles, sensor fusion, and real-time computer vision Calibration/registration, ensuring repeatable, accurate;
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architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time;
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image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best;
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Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer;
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Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition;
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Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book;
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in real-time. This book describes a stereo vision system to be used on a mobile robot, originally submitted as a master thesis in computer science;
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Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring;
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learning concepts in a computer vision context * Work with artificial neural networks using OpenCV * Develop your own computer vision real-life;
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Advances in the field of computer vision are leading to radical changes in the way we interact with computers. At the time of this book's;
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. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer;
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detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer;
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implement Computer Vision algorithms in an effective way * A fast-paced guide to help you deal with real-world Computer Vision applications using;
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Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using;
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, is known as computer vision. Some of the common tasks of computer vision include acquiring, analyzing, processing and understanding digital images;
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Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems;
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This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms;
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This book describes the design, implementation, calibration and testing of two vision systems of a robot-vision system for a service robot;
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Turn futuristic ideas about computer vision and machine learning into demonstrations that are both functional and entertaining Key Features;
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This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from;
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Two significant areas of study that are continually impacting various dimensions in computer science are computer vision and imaging. These;
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